Endava is a leading IT services company with over 2,500 employees and offices in New York, Atlanta, New Jersey, London and Frankfurt and 6 delivery centres across Romania, Moldova, Macedonia, and Serbia. Endava works with some of the world’s biggest brands in Finance, Insurance, Telecommunications, Media, Technology, and Retail helping them harness digital technologies and transforming them into more agile, responsive and valuable businesses.
Supporting the full software lifecycle, Endava covers application development and management, testing, infrastructure management and cloud services. Endava’s technical teams have relevant experience across a wide spectrum of modern technologies, including around 50 Scala specialists.
Our market-leading capability in agile Scala development at scale, enables us to deliver efficient and sophisticated systems for our customers.
We have developed a community of highly-trained and certified Scala engineers, who regularly attend and speak at Scala conferences and have already successfully delivered Scala projects for large organisations in the Finance domain, such as a major US mortgage processor and an important mobile banking and payments provider. Fully-committed to the long-term development of Scala within the organisation, Endava has joined the Typesafe Partner programme and established an internal Scala Practice to continue to build competency and ensure that our engineers are at the forefront of Scala innovation.
Find out how Endava can help you scale Scala: www.endava.com/scala
Keynote: Typelevel - the benefits of collaboration
Featuring Miles Sabin
A lot has happened since Lars Hupel gave his "State of the Typelevel" keynote at last years Scala eXchange. It hasn't always been plain sailing, but the arrival of the Cats project on the scene earlier this year marked the beginning an exciting period of collaboration among the...scalax scala scala-cats scalacheck shapeless
Keynote: Without Resilience, Nothing Else Matters
Featuring Jonas Bonér
It doesn’t matter how beautiful, loosely coupled, scalable, highly concurrent, non-blocking, responsive and performant your application is––if it isn't running, then it's 100% useless. Without resilience, nothing else matters.scalax scala
Keynote: Scaling Intelligence: moving ideas forward
Featuring Jessica Kerr
Scala is a scalable language. It is scalable in the computer sense, of small programs building into large programs. Does it scale in our mind, as well? There are a lot of ideas expressed in Scala. How do we scale those ideas from conception into full use? For any given idea, one person can't...scalax scala scalability
Keynote: Spark+Hadoop and how it relates to Scala
Featuring Sean Owen
Scala seems to be, suddenly, an important language within the Apache Hadoop ecosystem, with the arrival of Scala-based projects like Apache Kafka and Apache Spark -- which is in essence "distributed Scala". In fact, it's not a surprising marriage: Hadoop has been building on...spark hadoop scala
Streams: reactive? functional? Or: akka- & scalaz- streams side-by-side
Featuring Adam Warski
During this 'live-coding' presentation, you will implement a couple of stream data processing examples using both the Akka-Stream and Scalaz-stream libraries, introducing their core concepts and highlighting key differences.streams reactive functional akka-streams scalaz-streams single-node-stream-processing compositionality fp-library live-coding
Distributed deep learning
Featuring Jan Machacek
Jan’s talk will continue exploring the latest developments of the Muvr project. He will compare the code from last year’s Scala eXchange, explain what was planned, and how these plans had to change when faced with reality.muvr-project scala-exchange-2014 akka-cluster akka-persistence apache-spark iot/wearables
Distributed Data Science with Scala in a Browser
Featuring Xavier Tordoir
While machine learning has been used for decades, accessibility to these methods is undergoing a radical shift, with the rise of simple interfaces and implementations on distributed systems. In practice it means that more players can afford to take advantage of Machine Learning, and at larger...machine-learning distributed-data-science scala spark-notebook
Lightning Talks 2
Featuring Bas Geerdink, Jeff Smith, Aurelien Waite and Karl Brodowsky
This session will consist of four 15-minute talks by Jeff Smith, Aurelien (Rory) Waite, Bas Geerdnik, and Karl Brodowsky, where the following topics will be covered; numbers, computers, scala, deep learning, spark, statistics models, translationscala scalax computers